Journal of Bioengineering & Biomedical Science

El-Khobby H

Publications

• Research Article
  Enhanced Technique via Filters for Seizure Prediction
  Author(s): Ahmed S, El-Khobby H, Mahmoud A and Abd El-Samie FEAhmed S, El-Khobby H, Mahmoud A and Abd El-Samie FE
  
  This research study reports on the effective band of EEG signal to be used in seizure prediction, such as gamma, beta, alpha etc. The exercises were performed on a patient-specific framework for Electroencephalography (EEG) channel selection and seizure prediction, based on statistical probability distributions of the EEG signals. This framework is an enhanced method consists of two major phases, training and testing. Our objective was to distinguish between predicted and normal EEG signals. We achieved high prediction efficiency in reasonable time with low false alarm rate considering the parameters of seizure prediction techniques. Overall, we reached an efficiency of 96.2485% with prediction time of 54.012 min and false alarm rate of 0.10526/h. This approach is having considerable significance. It is a simple method which depends on all filtering technique. This method can be imple.. Read More»
  

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